Risk preferences of commodity crop producers and specialty crop producers: An application of prospect theory

Producers’ decisions, such as crop insurance, contract agreement, and technology adoption, involve considerable risk and uncertainty. Particularly, specialty crop production is more vulnerable to risk and requires more intensive management than commodity crop production, while risk mitigation tools for specialty crop production are comparatively limited. We apply Prospect Theory (PT) to analyze risk preferences of U.S. producers, and further compare the preference differences between commodity crop and specialty crop producers. Reference dependent, diminishing sensitivity, loss aversion, and probability weighting, as well as certain farm characteristics and producer demographics, are found to have a significant impact on grower risk attitudes. In addition, we do not observe significant differences in the base PT estimates between commodity crop and specialty crop producers. However, the relationships between risk behavior and individual characteristics vary between the two types of producers, which shed lights on the development of agricultural policies and provide implications for the design of contract and insurance.     

The effects of EU agricultural policy changes on farmers' risk attitudes

This analysis utilises a model of production under risk estimatedon Finnish farm-level data to measure farmers' risk attitudesin a changing policy environment. We find evidence of heterogeneousrisk preferences among farmers, as well as notable changes overtime in farmers' degree of risk aversion. This result is dueto the increase in the non-random part of farm income generatedby the policy change after Finland's European Union accession.The analysis confirms the assertion that agricultural policiesthat are decoupled from production do affect input use and cropmix through their effect on farmers' risk attitudes.     

Introducing socioeconomic characteristics into production analysis under risk

A theoretical framework is developed to study the effects of socioeconomic factors on farmers' risk attitudes and production decisions. No maintained assumptions about the individual's utility are required. A key element in this framework is the categorization of socioeconomic factors by their effect on the farmer's risk attitudes. A simple methodology for this categorization, based on the equivalence between the Arrow–Pratt measure of risk aversion and the probability of winning demanded, is proposed. The latter is illustrated with data collected in a survey of 180 Israeli farmers from 20 villages.     

Farmers’ risk preferences and pesticide use decisions: evidence from field experiments in China

China faces health and environmental problems associated with the use of agricultural chemicals, including pesticides. While previous studies have found that risk aversion affects pesticide use in China, they have focused primarily on commercial cotton farmers. In this study, we consider the case of smaller, semisubsistence and subsistence farmers in a poor and landlocked province of China (Yunnan). We use a field experiment to measure risk aversion and collect detailed data on farm production and input use to specifically ask whether risk aversion affects pesticide use, and whether this effect differs for subsistence farmers producing exclusively for home consumption versus semisubsistence farmers who produce both for home and the market. We find that risk aversion significantly increases pesticide use, particularly for subsistence farmers and for market plots by semisubsistence farmers. Further, this effect of risk aversion significantly decreases with farm size for subsistence farmers, but not for semisubsistence farmers, implying that pesticide use may be used to ensure sufficient food supply for home consumption. Finally, we find barriers to the use of pesticides for subsistence farmers, both in terms of financial constraints and economies of scale. This finding implies that risk‐mitigation strategies, such as crop insurance, may not target food security concerns of subsistence farmers. Given these different motivations for pesticide use, policymakers may wish to consider effective tools to support rural food security for farmers in the poorer regions of China in order to decrease pesticide use.     

Worth the Risk? The Behavioural Path to Well‐Being

There is increasing interest in the ‘economics of happiness’, reflected in the volume of articles appearing in mainstream economics journals exploring the major determinants of self‐reported well‐being. We contribute by exploring the factors influencing how satisfied farmers are with their quality of life. We find that farm income, subjective perceptions relating to the adequacy of household income, debt, health and personal characteristics such as age and relationship status are significantly associated with farmers’ self‐reported life satisfaction. While significantly associated with farm income, farm structural variables such as farm size, farm type and the presence of a farm successor were not found to be significantly related with life satisfaction. Our results also suggest that farmers who are more risk averse enjoy significantly lower levels of both life satisfaction and farm income than their more risk seeking or risk neutral counterparts. We suggest that, in the same way that risk aversion inhibits farmers from making choices that could lead to an increase in their income, it may also constrain farmers (and the wider public at large) from engaging in certain types of behaviours that could lead to an increase in their self‐reported quality of life. Finally, we find that while farm income is significantly related to self‐reported life satisfaction, the direct correlation between these variables is weak, suggesting that farmer life satisfaction can be distinct from business success.     

AN APPROACH TO THE ECONOMETRIC ESTIMATION OF ATTITUDES TO RISK IN AGRICULTURE*

A simple model is developed relating the debt and asset portfolio of the farm to the production decision, which leads to a small non-linear system of equations. The system is estimated with time-series cross-sectional data from Australian broadacre agriculture using non-linear three-stage least squares. This gives a new method of estimating risk aversion coefficients by using actual behaviour of farmers in a realistic economic environment, rather than games played in artificial situations. Australian farmers are found to be risk averse, and the partial coefficient of risk aversion decreases with wealth and increases with income. The results are consistent with the results of studies by Binswanger in India and elsewhere using a completely different method. This consistency suggests that the partial risk aversion coefficient is a relatively robust measure of attitudes to risk.     

Off‐farm work,technical efficiency,and rice production risk in Taiwan

This article investigates the differences in yield production, production efficiency, and yield risk for farmers both with and without off‐farm work. Using a nationwide survey of rice farmers in Taiwan, we estimate two stochastic production frontier models that accommodate technical inefficiency and production risk simultaneously for farmers both with and without off‐farm work. The stochastic dominance criterion is then applied to compare the differences in the distributions of the estimated technical efficiency and yield risk between groups. The empirical results indicate that these two groups of farmers use resources in different ways, and off‐farm work is not necessarily associated with lower technical efficiency. For farmers in the lower percentiles of the efficiency distribution, those with off‐farm work are more efficient than their counterparts without off‐farm work. In addition, farmers with off‐farm work face higher production risk and this result is robust for the entire distribution.     

Short supply chain participation and market performance for vegetable farmers in China

The fresh food supply chain in China has begun to reduce the number of intermediaries that connect producers and consumers. Using farm‐level data, this paper investigates the impacts of short supply chain participation on vegetable farmers’ market performance, including profits, productivity, production cost, price and price risk. The results show that the participation in a short supply chain is a profit‐maximising strategy and risk management tool for farmers. The increase in profit is attributed to productivity advantages, farm size expansion, and risk reduction rather than because of price premiums or cost savings. A policy implication is that short supply chain promotion has many benefits, but the government should be more concerned about the sustainability of short supply chains.     

Acreage Response to Whole Farm Income Stabilisation Programmes

This article investigates whether Canadian whole farm programmes, which fall under the WTO category of Green Box subsidies, are truly production neutral. Theory suggests that with non‐constant risk aversion, risky decisions can be influenced by both the level of expected wealth (i.e. the wealth effect) and the variability of wealth (i.e. the insurance effect). Unlike previous approaches, this article is able to extend a framework developed by Chavas and Holt to formally incorporate the insurance effect into the acreage allocation decisions. By applying the theoretical model to acreage data in the Canadian Prairies, the results reveal that the whole farm income stabilisation programmes had large impacts on acreage choices through wealth and insurance effects. From a WTO perspective, the results underline the inherent difficulty in designing programmes that will reduce the risk faced by farmers without altering behaviour.     

Risk Preferences of Dairy and Hog Producer in Quebec

The objective of this study is to investigate the nature of risk preferences of Quebec dairy and hog producers. The direct elicitation of utility method is employed to determine producers'degree of risk aversion. The Delphi process is used to obtain more refined and realistic responses. The results reveal that the risk preferences of the randomly selected Quebec farmers are highly diverse. The percentage of risk-taking farmers ranges from 8% to 23% depending upon the level of investment and the nature of the enterprise. On average, the majority of farmers in both groups are found to be risk averse. Based on the differences between the means as well as distributions, although not significant in all cases, hog producers are found to be consistently more risk averse than dairy producers. Moreover, the gap between the two groups widens as the level of investment increases. The implications of this result are that the stability of farm income due to supply management in dairy sector may facilitate investments of a given risk (for example, adoption of a new technology) more so than it would in the hog sector.     

RISK ATTITUDES AMONGST AUSTRALIAN FARMERS

A procedure for the measurement of risk attitudes is developed and applied. The data for the analysis were obtained from a survey in which 201 farmers throughout Australia were asked to provide points of indifference between sure amounts of income and risky prospects. Although the conclusions from this pilot study are of a tentative nature, it is suggested that risk aversion is the most prevalent risk attitude in the agricultural sector. However, the average degree of risk aversion is relatively small and, in an expected utility context, farmers gave a wide variety of responses. The latter result highlights the need to consider the size distribution of risk attitudes in economic modelling. Influences of socioeconomic and other variables on risk attitudes are examined. The results, when considered jointly with other studies, emphasise the desirability of further research into the determination of risk attitudes.     

The disposition effect in farmers’ selling behavior: an experimental investigation

The identification of the optimal selling time of stored goods is among the most essential economic decisions on a farm. Beyond monetary aspects, behavioral factors influence farmers’ selling decisions. In financial economics, the disposition effect is a commonly observed phenomenon. It describes the fact that investors hold losing stocks too long, while they sell stocks that gained in value too early. In the context of agriculture, this behavioral bias has not been analyzed thoroughly yet. To close this research gap, we conducted an incentivized online experiment with 112 farmers from Germany. The experimental design was based on a well‐proven experiment from financial economics and adapted to an agricultural decision context where stored goods must be sold. Farmers were provided information on the uncertain price developments. In addition, lotteries were conducted to elicit farmers’ risk attitude, probability weighting, and loss aversion. Results indicate that there is a robust disposition effect in farmers’ selling behavior. Furthermore, more loss‐averse farmers exhibited a higher realization of gains.     

Institutional Environment and Technical Efficiency: A Stochastic Frontier Analysis of Cotton Producers in West Africa

This paper examines the effects of the institutional environment on West African cotton farmers’ technical efficiency (TE). First, key aspects of the cotton sector institutional environment are discussed, including input and credit access, and producers’ organisations. Then, a stochastic frontier production function, which incorporates technical inefficiency effects, is applied to farm level data collected in Benin, Burkina Faso and Mali. The survey includes farmers’ evaluations of the cotton sector institutional environment. Results suggest that institutional level features influence producers’ TE, besides farm‐level characteristics. Cotton growers who report a negative experience with the joint liability programme, who identify the cotton price mechanism or access to credit as the main constraints to performance, and who cultivate more hectares of cereals are technically more inefficient in producing cotton. Findings suggest that cotton farmers in Mali are less technically efficient in producing cotton than in Burkina Faso and Benin. Agricultural development policies focusing on reducing farmers’ financial stress, particularly through the establishment of adequate price mechanisms (i.e. higher farm‐gate prices and timely payments to farmers) and improvement in the input–credit markets should be encouraged to improve TE in West Africa.     

Farmers’ risk preferences and their climate change adaptation strategies in the Yongqiao District,China

Farmers’ risk preferences play an important role in agricultural production decisions. This study characterizes risk preferences among farmers in Yongqiao and determines how these risk preferences are related to their choices regarding climate change adaptation strategies. We find that most farmers in the study area were aware of climate change. They were taking measures to protect their livelihoods against perceived changes to the local climate. The risk experiment result shows that the representative subject was risk averse, and women were more risk averse than men. The relationships between farmers’ risk preferences and different climate change adaptation choices were different. Farmers’ risk aversion was negatively and significantly related with adaptation strategies on planting new crop varieties and adopting new technology, but it had a significantly positive effect on purchasing weather index crop insurance. The results also indicate that the level of education, farming experience, farm size, household income and perception of climate change impacts influence farmers’ adaptation decisions.     

Estimating Technical Efficiency and Production Risk under Contract Farming: A Bayesian Estimation and Stochastic Dominance Methodology

We investigate production risk, technical efficiency and risk attitudes amongst contract and independent farmers. We use a Bayesian parametric approach and stochastic dominance quantile regression methods to compare technical efficiency and risk attitude of smallholders in Nepal. Using farm‐level data, we find that contract farmers appear to show lower inefficiency and lower production risk. Additionally, contract and independent farmers can increase output by reducing the scale of operation. Regardless of the commodity produced and farming arrangement (contract or independent production), we find that labour, land and other inputs are risk‐augmenting, while the role of capital is mixed. We find a second order stochastic dominance (SSD) for lentils, and first order stochastic dominance (FSD) for tomatoes, ginger and HYV paddy seed commodities. Finally, contract farmers are more risk averse than independent farmers, regardless of the commodity produced.     

Managing basis risk with multiscale index insurance

Agricultural index insurance indemnifies a farmer against losses based on an index that is correlated with, but not identical to, her or his individual outcomes. In practice, the level of correlation may be modest, exposing insured farmers to residual, basis risk. In this article, we study the impact of basis risk on the demand for index insurance under risk and compound risk aversion. We simulate the impact of basis risk on the demand for index insurance by Malian cotton farmers using data from field experiments that reveal the distributions of risk and compound risk aversion. The analysis shows that compound risk aversion depresses demand for a conventional index insurance contract some 13 percentage points below what would be predicted based on risk aversion alone. We then analyze an innovative multiscale index insurance contract that reduces basis risk relative to conventional, single‐scale index insurance contract. Simulations indicate that demand for this multiscale contract would be some 40% higher than the demand for an equivalently priced conventional contract in the population of Malian cotton farmers. Finally, we report and discuss the actual uptake of a multiscale contract introduced in Mali.     

Productivity and Producer Welfare in the Presence of Production Risk

Production risk is an inherent characteristic of agriculture and changes in production risk will affect the welfare of risk‐averse producers. Using standard concepts from the literature on uncertainty, we introduce a welfare measure which comprises total factor productivity (TFP), production risk and farmer risk preferences, and which reflects the impact on producer welfare of changes in production technology. An empirical application is carried out using data from a sample of Spanish dairy farms which shows how the positive impact of increases in TFP on welfare can be offset by increases in the risk premium (‘cost of risk’) to the point where welfare may decrease.     

Non-parametric estimation of decision makers' risk aversion

A new non‐parametric method to estimate a decision maker's coefficient of absolute risk aversion from observed economic behaviour is explained. The method uses the expected value‐variance (E‐V) framework and quadratic programming. An empirical illustration is given using Norwegian farm‐level data.     

Agricultural diversification and integrated pest management in Bangladesh

We study factors associated with a shift toward diversified, high‐valued vegetable crops and the incentives associated with the use of IPM methods for vegetable producers in Bangladesh. The primary objective is to measure how IPM technologies affect the crop and technology choices of low‐income rice farmers. A three‐season household optimisation model is used to study crop and technology choice under price and yield uncertainty. The model is parameterised using data from vegetable farms and experimental IPM trials conducted in Bangladesh. Simulation results show that access to IPM technology and IPM availability combined with access to credit increase household welfare and lead to higher rates of vegetable adoption. Off‐farm employment opportunities work against vegetable cultivation and IPM use by risk‐averse farmers. Implications for policy and extension efforts are highlighted.